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A fractional-order multifunctionaln-step honeycomb RLCcircuit network Article

Ling ZHOU, Zhi-zhong TAN, Qing-hua ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8,   Pages 1186-1196 doi: 10.1631/FITEE.1601560

Abstract: We investigate a multifunctional -step honeycomb network which has not been studied before.By adjusting the circuit parameters, such a network can be transformed into several different networkswith a variety of functions, such as a regular ladder network and a triangular network.in the LC network, which are in the fractional-order domain.First, we simplify the complex network into a simple equivalent model.

Keywords： Honeycomb network     Equivalent transformation     Fractional differential equation     Impedance characteristics    

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A new proof of Honeycomb Conjecture by fractal geometry methods

Tong ZHANG, Kai DING

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 367-370 doi: 10.1007/s11465-013-0273-7

Abstract:

Based on fractal geometry, we put forward a concise and straightforward method to prove HoneycombFrom this point of view, honeycomb is treated as a hierarchical fractal structure that fully fills the

Keywords： Honeycomb Conjecture     fractal geometry     hierarchical fractal structure    

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Manufacturing and mechanical properties of composite orthotropic Kagome honeycomb using novel modular

Bin NIU, Shijie LI, Rui YANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 484-495 doi: 10.1007/s11465-020-0593-3

Abstract: This work deals with manufacturing and analysis of orthotropic composite Kagome honeycomb panels.Finally, representative volume element method is used to perform homogenization analysis of the Kagome honeycombproperties is conducted and validated against the experimental results of the manufactured composite Kagome honeycomb

Keywords： composite     Kagome honeycomb     manufacturing     placement of fibers     equivalent stiffness    

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Effects of inclination angles of disc cutter on machining quality of Nomex honeycomb core in ultrasonic

Yidan WANG, Renke KANG, Yan QIN, Qian MENG, Zhigang DONG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 285-297 doi: 10.1007/s11465-021-0631-9

Abstract: cutting with a disc cutter is an advanced machining method for the high-quality processing of Nomex honeycombThe theoretical residual height models of the honeycomb core, as a result of the lead and tilt anglesResearch shows that the residual height of the honeycomb core, as a result of the tilt angle, is muchinvestigates the influence of the inclination angles of a disc cutter on the machining quality of Nomex honeycomb

Keywords： Nomex honeycomb core     disc cutter     inclined ultrasonic cutting     machining quality    

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Postprocessor development for ultrasonic cutting of honeycomb core curved surface with a straight blade

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0729-8

Abstract: When ultrasonically cutting honeycomb core curved parts, the tool face of the straight blade must bespindle rotation algorithm were integrated and compiled, and the straight blade ultrasonic cutting honeycombconducted in the VERICUT simulation software, and the simulation machining of the equivalent entity of the honeycombTherefore, the postprocessor developed in this paper can be well adapted to the honeycomb core ultrasoniccutting machine tool and realize high-quality and high-efficient machining of honeycomb core composites

Keywords： honeycomb core     straight blade     ultrasonic cutting     tool pose     postprocessor    

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Experimental study on oxidative decomposition of nitrobenzene in aqueous solution by honeycomb ceramic-catalyzed

ZHAO Lei, MA Jun, LIU Zhengqian, YANG Yixin, SUN Zhizhong

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 1,   Pages 44-50 doi: 10.1007/s11783-008-0012-1

Abstract: reactor to investigate the degradation efficiency, the effect factors, and the reaction mechanism, where honeycombThe presence of honeycomb ceramic could improve the degradation rate of nitrobenzene by 15.46% comparedUnder the conditions of this experiment, the degradation rate of honeycomb ceramic-catalyzed ozonationBut, when the pH of the solution increased to 9.50, the advantage of the honeycomb ceramic-catalyzedThe experimental findings indicated that in the processes of ozonation alone and honeycomb ceramic-catalyzed
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Dimensional synthesis of a novel 5-DOF reconfigurable hybrid perfusion manipulator for large-scale spherical honeycomb

Hui YANG, Hairong FANG, Yuefa FANG, Xiangyun LI

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 46-60 doi: 10.1007/s11465-020-0606-2

Abstract: with the 5PRR reconfigurable base to enhance the perfusion efficiency of the large-scale spherical honeycomb

Keywords： 5-DOF hybrid manipulator     reconfigurable base     large workspace     dimensional synthesis     optimal design    

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Structural dimension optimization and mechanical response analysis of fabricated honeycomb plastic pavement

Zixuan CHEN; Tao LIU; Xiao MA; Hanyu TANG; Jianyou HUANG; Jianzhong PEI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 896-908 doi: 10.1007/s11709-022-0856-7

Abstract: favorable mechanical properties, deformation resistance and being conducive to environmental protection, honeycombIn this paper, an optimized geometry of the honeycomb pavement slab was determined through finite elementMechanical response of honeycomb slabs with different internal dimensions and external dimensions wereconsideration including the side length, rib thickness, the thickness of both top and bottom slabs of honeycombThe results showed that honeycomb pavement slab with 6 cm bottom slab, 12 cm top slab,18 cm side length

Keywords： honeycomb structure     plastic pavement     dimension optimization     mechanical response     factor significance    

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Microwave-assisted catalytic oxidation of gaseous toluene with a Cu-Mn-Ce/cordierite honeycomb catalyst

Longli Bo, Shaoyuan Sun

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 2,   Pages 385-392 doi: 10.1007/s11705-018-1738-3

Abstract: A novel Cu-Mn-Ce/cordierite honeycomb catalyst was prepared by an incipient wetness method and the catalyst

Keywords： microwave     catalytic oxidation     toluene     Cu-Mn-Ce/cordierite     mineralization    

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Insight into the promotion mechanism of activated carbon on the monolithic honeycomb red mud catalyst

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1337-7

Abstract:

• Activated carbon was proposed to be an efficient accelerant for molded red mud catalyst.

Keywords： NOx     Selective catalytic reduction     Iron-based catalyst     Red mud     Monolithic catalyst     Activated carbon    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 484-502 doi: 10.1007/s11705-012-1221-5

Abstract: This review presents the main works related to each network.

Keywords： process system engineering     integration methods     heat exchange network     mass exchange network     work exchangenetwork    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Title Author Date Type Operation

A fractional-order multifunctionaln-step honeycomb RLCcircuit network

Ling ZHOU, Zhi-zhong TAN, Qing-hua ZHANG

Journal Article

A new proof of Honeycomb Conjecture by fractal geometry methods

Tong ZHANG, Kai DING

Journal Article

Manufacturing and mechanical properties of composite orthotropic Kagome honeycomb using novel modular

Bin NIU, Shijie LI, Rui YANG

Journal Article

Effects of inclination angles of disc cutter on machining quality of Nomex honeycomb core in ultrasonic

Yidan WANG, Renke KANG, Yan QIN, Qian MENG, Zhigang DONG

Journal Article

Postprocessor development for ultrasonic cutting of honeycomb core curved surface with a straight blade

Journal Article

Experimental study on oxidative decomposition of nitrobenzene in aqueous solution by honeycomb ceramic-catalyzed

ZHAO Lei, MA Jun, LIU Zhengqian, YANG Yixin, SUN Zhizhong

Journal Article

Dimensional synthesis of a novel 5-DOF reconfigurable hybrid perfusion manipulator for large-scale spherical honeycomb

Hui YANG, Hairong FANG, Yuefa FANG, Xiangyun LI

Journal Article

Structural dimension optimization and mechanical response analysis of fabricated honeycomb plastic pavement

Zixuan CHEN; Tao LIU; Xiao MA; Hanyu TANG; Jianyou HUANG; Jianzhong PEI

Journal Article

Microwave-assisted catalytic oxidation of gaseous toluene with a Cu-Mn-Ce/cordierite honeycomb catalyst

Longli Bo, Shaoyuan Sun

Journal Article

Insight into the promotion mechanism of activated carbon on the monolithic honeycomb red mud catalyst

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article